Bill Overview
Title: Protecting Survivors from Traumatic Brain Injury Act of 2022
Description: This bill requires the Department of Health and Human Services to collect and analyze data about brain injuries resulting from domestic and sexual violence and publish its findings.
Sponsors: Rep. Pascrell, Bill, Jr. [D-NJ-9]
Target Audience
Population: People impacted by traumatic brain injury due to domestic or sexual violence
Estimated Size: 5000000
- Traumatic brain injury (TBI) affects millions of people worldwide each year.
- Domestic and sexual violence can lead to traumatic brain injuries in victims.
- This bill aims to collect and analyze data about brain injuries specifically resulting from domestic and sexual violence.
- Global incidence rates suggest millions of survivors of domestic or sexual violence could potentially suffer from TBI.
Reasoning
- The target population for this policy includes individuals who have suffered traumatic brain injuries as a result of domestic or sexual violence. The estimated population in the U.S. affected by this is approximately 5 million people.
- The budget allows for data collection and analysis over a 10-year period, hence the initial impact may focus more on data gathering while subsequent years may show more direct policy influence as results from the data analysis are implemented.
- The policy's primary impact will likely be on those directly suffering from TBIs due to domestic or sexual violence, but increased awareness and improved data on the issue can also broader implications for healthcare and support systems.
Simulated Interviews
Social Worker (Dallas, Texas)
Age: 30 | Gender: female
Wellbeing Before Policy: 3
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- I really hope the policy can lead to more help for people like me.
- Data is important, but we need real changes like better access to healthcare.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 4 | 3 |
| Year 2 | 5 | 3 |
| Year 3 | 6 | 4 |
| Year 5 | 7 | 4 |
| Year 10 | 8 | 5 |
| Year 20 | 8 | 5 |
Healthcare Advocate (New York, New York)
Age: 45 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 20.0 years
Commonness: 6/20
Statement of Opinion:
- This could bring needed attention to often overlooked aspects of TBI.
- Awareness and data will drive policy and funding where it’s needed.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 7 | 5 |
| Year 3 | 8 | 5 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 6 |
| Year 20 | 8 | 6 |
Research Scientist (San Francisco, California)
Age: 28 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 8/20
Statement of Opinion:
- The data collected could help direct research and resources where they are needed most.
- Understanding TBIs in victims of violence will broaden public health insights.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 7 | 7 |
Domestic Violence Counselor (Chicago, Illinois)
Age: 50 | Gender: female
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 4/20
Statement of Opinion:
- Data is a good start but translating that into action is vital.
- I see too many people who need urgent help, and they aren’t getting it.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 5 |
| Year 3 | 7 | 5 |
| Year 5 | 8 | 6 |
| Year 10 | 9 | 7 |
| Year 20 | 8 | 7 |
Paramedic (Atlanta, Georgia)
Age: 34 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 7/20
Statement of Opinion:
- Policies like this can guide better resource allocation for emergencies.
- Data-driven decisions could reduce response times and improve care.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
Retired Teacher (Miami, Florida)
Age: 60 | Gender: female
Wellbeing Before Policy: 3
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- This policy gives me hope that more will be done to help survivors.
- The road to recovery is long, and we need more support.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 4 | 3 |
| Year 2 | 5 | 3 |
| Year 3 | 6 | 3 |
| Year 5 | 7 | 4 |
| Year 10 | 8 | 5 |
| Year 20 | 7 | 6 |
Lawyer (Los Angeles, California)
Age: 38 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 15.0 years
Commonness: 5/20
Statement of Opinion:
- Emphasizing data can help shape effective legal frameworks to protect survivors.
- Hope to see this policy encourage legislative change for comprehensive support.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 8 | 7 |
Graphic Designer (Seattle, Washington)
Age: 29 | Gender: female
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 4/20
Statement of Opinion:
- There needs to be more awareness about the potential for undiagnosed TBIs.
- Policies like this could lead to better screening and preventative measures.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 4 |
| Year 3 | 6 | 5 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 7 | 6 |
Psychologist (Pittsburgh, Pennsylvania)
Age: 42 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 5.0 years
Commonness: 5/20
Statement of Opinion:
- It’s crucial that this policy leads to comprehensive data collection.
- Data will be key in tailoring recovery programs for affected individuals.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 6 | 5 |
| Year 3 | 6 | 5 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 7 | 6 |
Nurse (Phoenix, Arizona)
Age: 57 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- The policy has potential but needs to focus on actionable solutions.
- I hope data leads to concrete improvements in treatment protocols.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
Cost Estimates
Year 1: $30000000 (Low: $25000000, High: $35000000)
Year 2: $30000000 (Low: $25000000, High: $35000000)
Year 3: $30000000 (Low: $25000000, High: $35000000)
Year 5: $30000000 (Low: $25000000, High: $35000000)
Year 10: $30000000 (Low: $25000000, High: $35000000)
Year 100: $30000000 (Low: $25000000, High: $35000000)
Key Considerations
- The scale and methodology of data collection will directly impact the accuracy and utility of findings.
- Potential for improved healthcare policies based on better data, although immediate financial savings are not quantifiable.
- Impact assessments on related healthcare costs due to better prevention and treatment informed by the data.